The impact of post-stroke complications on in-hospital mortality depends on stroke severity.

ABSTRACT:

Introduction

Controversies remain on whether post-stroke complications represent an independent predictor of poor outcome or just a reflection of stroke severity. We aimed to identify which post-stroke complications have the highest impact on in-hospital mortality by using machine learning techniques. Secondary aim was identification of patient's subgroups in which complications have the highest impact.

Patients and methods

Registro Nacional de Ictus de la Sociedad Española de Neurología is a stroke registry from 42 centers from the Spanish Neurological Society. Data from ischemic stroke patients were used to build a random forest by combining 500 classification and regression trees, to weight up the impact of baseline characteristics and post-stroke complications on in-hosp

SUBMITTER: Bustamante A 

PROVIDER: S-EPMC6453178 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature